Designing and Implementing an Azure AI Solution (legacy) — Question 29

Your company has deployed 1,000 Internet-connected sensors for an AI application. The sensors generate large amounts new data on an hourly basis.
The data generated by the sensors are currently stored on an on-premises server.
You must meet the following requirements:
Move the data to Azure so that you can perform advanced analytics on the data.
Ensure data persistence.
Keep costs at a minimum.
Which of the following actions should you take?

Answer options

• A. Make use of Azure Blob storage
• B. Make use of Azure Cosmos DB
• C. Make use of Azure Databricks
• D. Make use of Azure Table storage

Correct answer: A

Explanation

The correct choice is Azure Blob storage because it is designed for storing large amounts of unstructured data economically and provides data persistence. Azure Cosmos DB, while powerful, is more suited for scenarios requiring low-latency access and global distribution, which may increase costs. Azure Databricks is primarily for analytics and not for data storage, and Azure Table storage is not as cost-effective for large volumes of data compared to Blob storage.